Inheritance diagram for WeightedAverageMethod:

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Collaboration diagram for WeightedAverageMethod:

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Public Member Functions
	WeightedAverageMethod (const WeightedAverageMethod &method)

virtual void	updateBean () const override
	Called after setParameters()

virtual void	add (AccumulationArray &accArray, const size_t i, double value, double weight) const override
	Adds a weighted value to the accumulation array.

virtual void	add (AccumulationArray &accArray, const size_t i, double value, double weight, unsigned int count) const override
	Adds 'count' copies of a weighted value to the accumulation array.

virtual void	extractValue (const AccumulationArray &accArray, const AccumulationConverter &coder, Image &dst, const drain::Rectangle< int > &crop={0, 0, 0, 0}) const override
	Retrieve the accumulated values from the accumulation matrix back to a data array.

virtual void	extractWeight (const AccumulationArray &accArray, const AccumulationConverter &coder, Image &dst, const drain::Rectangle< int > &crop={0, 0, 0, 0}) const override
	Retrieves the (average) weight of the accumulated values.

virtual void	extractDev (const AccumulationArray &accArray, const AccumulationConverter &coder, Image &dst, const drain::Rectangle< int > &crop={0, 0, 0, 0}) const override
	Retrieves the standard deviation of the accumulated values.

Public Member Functions inherited from AccumulationMethod
	AccumulationMethod (const AccumulationMethod &method)

virtual void	extractCount (const AccumulationArray &accArray, const AccumulationConverter &coder, Image &dst, const drain::Rectangle< int > &crop={0, 0, 0, 0}) const
	Retrieves the count of values accumulated.

Public Member Functions inherited from BeanLike
	BeanLike (const BeanLike &b)

	BeanLike (const std::string &name, const std::string &description="")

virtual const std::string &	getName () const
	Return the name of an instance.

virtual const std::string &	getDescription () const
	Return a brief description.

bool	hasParameters () const

template<class F >
F	getParameter (const std::string &p) const
	Gets a single parameter.

const map_t &	getParameters () const

map_t &	getParameters ()

template<class F >
void	setParametersFromEntries (const F &args)

void	setParameters (std::initializer_list< Variable::init_pair_t > args)
	Grants access to (if above hidden)

virtual void	setParameters (const std::string &p, char assignmentSymbol='=', char separatorSymbol=0)
	Sets comma-separated parameters in a predetermined order "a,b,c" or by specifing them "b=2".

template<class T >
void	setParameters (const std::map< std::string, T > &args)
	Set parameters.

template<class T >
void	setParameters (const SmartMap< T > &args)
	Set parameters.

void	setParameter (const std::string &p, const Castable &value)
	Sets a single parameter.

template<class T >
void	setParameter (const std::string &p, const VariableT< T > &value)

template<class F >
void	setParameter (const std::string &p, const F &value)
	Sets a single parameter.

template<class F >
void	setParameter (const std::string &p, std::initializer_list< F > value)
	Sets a single parameter.

BeanLike &	operator= (const BeanLike &b)

virtual std::ostream &	toStream (std::ostream &ostr, bool compact=true) const

Protected Attributes
double	bias = 0.0

double	p = 1.0
	Power for data values.

double	pInv = 1.0

bool	USE_P = false

double	r = 1.0
	Power for weights.

double	rInv = 1.0

bool	USE_R = false

Protected Attributes inherited from BeanLike
const std::string	name

const std::string	description

map_t	parameters

Additional Inherited Members
Public Types inherited from BeanLike
typedef ReferenceMap	map_t

Protected Member Functions inherited from AccumulationMethod
	AccumulationMethod (const std::string &name, const std::string &description)

Protected Member Functions inherited from BeanLike
virtual void	storeLastArguments (const std::string &p)
	Called after setParameters()

Member Function Documentation

◆ add() [1/2]

void add	(	AccumulationArray &	accArray,
		const size_t	i,
		double	value,
		double	weight
	)		const

overridevirtual

Adds a weighted value to the accumulation array.

i - precomputed address in the array

value - value to be added

weight - weight of the value

Notice that not all the rules apply the weights. Semantically, the weights should reflect the importance, confidence or relevance of the value.

else (r==0, weight==0) just ++count, see above.

Reimplemented from AccumulationMethod.

◆ add() [2/2]

void add	(	AccumulationArray &	accArray,
		const size_t	i,
		double	value,
		double	weight,
		unsigned int	count
	)		const

inlineoverridevirtual

Adds 'count' copies of a weighted value to the accumulation array.

else (r==0, weight==0), and just ++count, see above.

Reimplemented from AccumulationMethod.

◆ extractDev()

void extractDev	(	const AccumulationArray &	accArray,
		const AccumulationConverter &	coder,
		Image &	dst,
		const drain::Rectangle< int > &	crop = `{0,0,0,0}`
	)		const

overridevirtual

Retrieves the standard deviation of the accumulated values.

dst - target array in which the values are stored.

gain - scaling coefficient applied to each retrived value

offset - additive coefficient applied to each retrieved value

NODATA - if bin count is undetectValue that is, there is no data in a bin, this value is applied.

Reimplemented from AccumulationMethod.

◆ extractValue()

void extractValue	(	const AccumulationArray &	accArray,
		const AccumulationConverter &	coder,
		Image &	dst,
		const drain::Rectangle< int > &	crop = `{0,0,0,0}`
	)		const

overridevirtual

Retrieve the accumulated values from the accumulation matrix back to a data array.

In this context, the "value" refers to the main object of interest (measurement, prediction etc).

dst - target array in which the values are stored.

gain - scaling coefficient applied to each retrived value

offset - additive coefficient applied to each retrieved value

NEGLIBLE - if value is less than minValue (or weight is undetectValue but bin count non-undetectValue), this value is applied.

NODATA - if bin count is undetectValue that is, there is no data in a bin, this value is applied.

Reimplemented from AccumulationMethod.

◆ extractWeight()

void extractWeight	(	const AccumulationArray &	accArray,
		const AccumulationConverter &	coder,
		Image &	dst,
		const drain::Rectangle< int > &	crop = `{0,0,0,0}`
	)		const

overridevirtual

Retrieves the (average) weight of the accumulated values.

Parameters

accArray	- data source
coder	- logic for scaling and encoding the result \pararm dst - target array in which the data are stored.

Reimplemented from AccumulationMethod.

◆ updateBean()

void updateBean ( ) const

overridevirtual

Called after setParameters()

Reimplemented from BeanLike.

The documentation for this class was generated from the following files:

src/drain/image/AccumulationMethods.h
src/drain/image/AccumulationMethods.cpp

Public Member Functions

Protected Attributes

Additional Inherited Members

Member Function Documentation

◆ add() [1/2]

◆ add() [2/2]

◆ extractDev()

◆ extractValue()

◆ extractWeight()

◆ updateBean()